Method for establishing pancreatic cancer miRNA prognosis model and screening targeted gene

A pancreatic cancer and prognosis technology, applied in the field of gene technology and medicine, can solve problems such as unsatisfactory results and long time-consuming

Pending Publication Date: 2021-02-23
GUANGDONG MEDICAL UNIV +1
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Problems solved by technology

[0003] However, it takes a long time to find new miRNA biomarkers through experimental research and the results are not necessarily ideal. Therefore, in the current research on miRNA and disease, many researchers propose to apply bioinformatics to analyze miRNA and disease association data. Large-scale systematic analysis, explor

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  • Method for establishing pancreatic cancer miRNA prognosis model and screening targeted gene
  • Method for establishing pancreatic cancer miRNA prognosis model and screening targeted gene
  • Method for establishing pancreatic cancer miRNA prognosis model and screening targeted gene

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Embodiment Construction

[0011] A method for establishing a pancreatic cancer miRNA prognosis model, comprising the following steps:

[0012] 1) Retrieve data and process RNA sequence data: from TCGA public data (The Cancer Genome Atlas, https: / / portal.gdc.cancer.gov / ) to confirm and download the tissue sample miRNA-seq data (level 3) and corresponding clinical information of 183 patients with PAAD; from the GEO public database (Gene Expression Omnibus, https: / / www.ncbi.nlm.nih.gov / geo / ) Confirm and download the expression profile of GSE28735 containing information about pancreatic cancer-related tissues and normal tissues, including tumor samples (45) and normal pancreatic tissues (45);

[0013] 2) Differential miRNAs and gene screening: using edgeR in the R language [17] , gplots and limma [18] The program package performs standardization, data fitting and difference analysis on the miRNA expression matrix of pancreatic cancer and normal tissues obtained in the TCGA database, and according t...

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Abstract

The invention discloses a method for establishing a pancreatic cancer miRNA prognosis model and screening a targeted gene. The model comprises hsa-mir-424, hsa-mir-126, hsa-mir-3613 and hsa-mir-4772,nine key genes are identified, and the nine key genes comprise MMP14, ITGA2, THBS2, COL1A1, COL3A1, COL11A1, COL6A3, COL12A1 and COL5A2. According to the method for establishing the pancreatic cancermiRNA prognosis model, by means of TCGA and GEO databases, data is subjected to multi-step analysis through a plurality of R language installation packages and combines with clinical information, a Cox proportional risk regression model is established to search for prognosis biomarkers, the targeted gene of miRNA is predicted, the key genes related to pancreatic cancer are found out by utilizing Cytoscape, and related molecular functions and action mechanisms of the key genes are predicted through KEGG and GO analysis so as to search for new treatment targets and prognosis markers of pancreatic cancer patients.

Description

technical field [0001] The invention relates to the fields of gene technology and medicine, in particular to the establishment of a pancreas cancer miRNA prognosis model and a screening method for targeted genes. Background technique [0002] Pancreatic cancer, like other tumors, is affected by many factors. In general, surgical resection is the only option for the cure of pancreatic cancer. However, over the years, the surgical resection rate and postoperative annual survival rate of pancreatic cancer have not improved significantly. Most patients lose the chance of surgery due to extensive metastasis at the time of diagnosis, and pancreatic cancer is not sensitive to radiotherapy and chemotherapy. Therefore, it is of great significance to find new therapeutic targets and study the pathogenesis of pancreatic cancer. In recent years, with the discovery of microRNA (microRNA) and the deepening of its research, more and more miRNAs have been proved to be closely related to t...

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Application Information

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IPC IPC(8): C12Q1/6886G16B40/00G16B5/00G16B25/00
CPCC12Q1/6886G16B40/00G16B5/00G16B25/00C12Q2600/158C12Q2600/178C12Q2600/118
Inventor 黄遵楠陈烁玲曲玥阳肖桂山俞天杨高畅
Owner GUANGDONG MEDICAL UNIV
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